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• Evolution #3091 : Gérer le timeout lors du calcul des filtres images

  10 août 2014, par cedric -

  Le problème ne vient pas du nombre de modèles <doc></doc> ou <img style='max-width: 300px; max-height: 300px' /> proprement dit, mais du nombre d’images réduites qu’il faut générer lors de l’affichage de la page. Ainsi, lors du premier affichage, on doit calculer toutes les images réduites d’un coup, ce qui prend du temps, et on fait timeout. Il suffit en général de ré-afficher la page une fois (ou plusieurs si il y en a vraiment beaucoup) pour que le calcul des images se finisse, et l’article s’affichera très bien ensuite.

  Il n’est pas question de limiter le nombre de documents/images insérées dans un article, car ce serait trop limitatif.
  Idéalement il faudrait être capable de gérer proprement ce timeout, et relancer le hit automatiquement au besoin.

• ffmpeg nodejs lambda crop issue

  29 juillet 2020, par Ajouve

  I have a lambda function to crop videos with ffmpeg

  


  I am installing the layer this way

  


  #!/bin/bash
mkdir -p layer
cd layer
rm -rf *
curl -O https://johnvansickle.com/ffmpeg/builds/ffmpeg-git-amd64-static.tar.xz
tar -xf ffmpeg-git-amd64-static.tar.xz
mv ffmpeg-git-*-amd64-static ffmpeg
rm ffmpeg-git-amd64-static.tar.xz


  


  I do not really which version but should be recent as I did it today for the last time

  


  Then my node js lambda function is running with the following nodejs module https://github.com/fluent-ffmpeg/node-fluent-ffmpeg

  


  return new Promise((resolve, reject) => {
        ffmpeg(inputFile.name)
            .videoFilters(`crop=${width}:${height}:${x}:${y}`)
            .format('mp4')
            .on('error', reject)
            .on('end', () => resolve(fs.readFileSync(outputFile.name)))
            .save(outputFile.name);


  


  with for example videoFilters('crop=500:500:20:20')

  


  And I have the folowing error

  


  ffmpeg exited with code 1: Error reinitializing filters!
Failed to inject frame into filter network: Invalid argument
Error while processing the decoded data for stream #0:0
Conversion failed!


  


  On my local computer I am running the following command on the exact same image

  


  ffmpeg -i in.mp4 -filter:v "crop=500:500:20:20" out.mp4


  


  my version of ffmpeg is 4.2.2 and this is working great

  


  I do not have the issue with all videos, here one video which is causing me the issue https://ajouve-util.s3.amazonaws.com/earth.mp4

  


• Audio to text is slow and words are getting dropped

  8 mars 2019, par Madhur Yadav

  I have a code which takes videos from an input folder, converts it into audio file(.wav) using ffmpeg.
  It then converts the audio file to text by recording 30 seconds audio (dura=30) and converting it to text using google translate api.

  The problem is that the code takes a lot of time to convert video to text and it drops first two words and some words after every 30 seconds.

  import speech_recognition as sr
  
  import sys
  
  import shutil
  
  from googletrans import Translator
  
  from pathlib import Path
  
  import os
  
  import wave
  
  def audio_to_text(self,video_lst,deploy_path,video_path,audio_path):
  
      try:
  
          txt_lst=[]
  
          for video_file in video_lst:
  
              file_part=video_file.split('.')
  
              audio_path_mod = audio_path +'/'+ '.'.join(file_part[:-1])
  
              dir_path=video_path+'.'.join(file_part[:-1])
  
              self.createDirectory(audio_path_mod)
  
              audio_file='.'.join(file_part[:-1])+'.wav'
  
              command_ffmpeg='set PATH=%PATH%;'+deploy_path.replace('config','script')+'audio_video/ffmpeg/bin/'
  
              command='ffmpeg -i '+video_path+'/'+video_file+' '+audio_path_mod+'/'+audio_file
  
              os.system(command_ffmpeg)
  
              os.system(command)
  
              r=sr.Recognizer()
  
              dura=30
  
              lang='en'
  
              wav_filename=audio_path_mod+'/'+audio_file
  
  
  
              f = wave.open(wav_filename, 'r')
  
              frames = f.getnframes()
  
              rate = f.getframerate()
  
              audio_duration = frames / float(rate)
  
              final_text_lst=[]
  
              counter=0
  
  
  
              with sr.AudioFile(wav_filename) as source:
  
                  while countercode>

  Any help/suggestion would be valuable. Thanks in advance.